Why it matters: Linear algebra underpins machine learning, enabling efficient data representation, transformation, and optimization for algorithms like regression, PCA, and neural networks. Python ...

Vector spaces, linear transformation, matrix representation, inner product spaces, isometries, least squares, generalised inverse, eigen theory, quadratic forms, norms, numerical methods. The fourth ...

Python’s rich ecosystem of libraries like NumPy and SciPy makes it easier than ever to work with vectors, matrices, and linear systems. Whether you’re calculating determinants, solving equations, or ...